- Company Name
- AlmavivA de Belgique
- Job Title
- Data Scientist - Intermediate
- Job Description
-
**Job title**
Data Scientist – Intermediate
**Role Summary**
Apply advanced data analytics and modelling techniques to support policy development and business optimization. Collaborate with policy officers, analysts, developers, and stakeholders to transform complex datasets into actionable insights, visualisations, and strategic recommendations.
**Expectations**
- Deliver timely, high‑quality analytical outputs that meet policy and business objectives.
- Maintain rigorous data quality, governance, and compliance standards.
- Communicate findings clearly to both technical and non‑technical audiences.
- Adapt quickly to changing priorities and deliver efficiently in a dynamic environment.
**Key Responsibilities**
- Conduct exploratory data analysis, cleaning, and preprocessing of large datasets.
- Build, validate, and deploy predictive and descriptive models.
- Design and implement data processing algorithms for specific use cases.
- Generate clear visualisations and reports (Power BI, R‑Shiny, etc.) to communicate insights.
- Collaborate with policy colleagues to ensure data availability, quality, and relevance.
- Coordinate with business analysts, customers, project leaders, and developers throughout the analytics lifecycle.
- Monitor project status, identify risks, and propose mitigation actions.
- Present analytical results and recommendations to senior stakeholders.
- Contribute to continuous improvement of data science practices and stay current with industry developments.
**Required Skills**
- 3+ years’ experience in data analysis, statistical modelling, and data science.
- Proficiency in at least two programming languages: R, Stata, or Python.
- Strong statistical knowledge (distributions, sampling, probability).
- Intermediate SQL skills for data extraction and manipulation.
- Advanced Excel and data visualisation proficiency (Power BI, R‑Shiny, etc.).
- Understanding of data governance, quality principles, and compliance.
- Excellent written and spoken communication; ability to explain complex analyses to diverse audiences.
- Proficient in technical documentation and structured reporting.
- Analytical mindset, problem‑solving capability, and a drive for research and innovation.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Statistics, Data Science, Economics, Computer Science, or a related field.